In one embodiment, a system generates a plurality of driving scenarios to train a
reinforcement learning (RL) agent and replays each of the driving scenarios to train the RL …

In one embodiment, an open space model is generated for a system to plan trajectories for
an ADV in an open space. The system perceives an environment surrounding an ADV …

Aspects of the disclosure provide a of generating and following planned trajectories for an
autonomous vehicle. For instance, a baseline for a planned trajectory that the autonomous …

Among other things, techniques are described for identifying, by at least one processor of a
vehicle based on a graph that includes a plurality of edges and a plurality of nodes, a …

In one embodiment, it is determined that a speed of an autonomous driving vehicle (ADV) is
below a predeter mined speed threshold during a current turn section of a three-point turn …

In one embodiment, a system uses an actor-critic reinforcement learning model to generate
a trajectory for an autonomous driving vehicle (ADV) in an open space. The system …